由於航太產業、模具加工業、汽機車零件場業與3C產品等加工領域發達,使得銑削工件的端銑刀需求大增,且科技的進步,使產品精密度要求越來越高,故高精度刀具需求相當迫切需要。 幾何精度和切削加工性能取決於刀具製程研磨,如何有效保持研磨刀具精度,本文將針對鑽石砂輪於研磨碳化鎢刀具的研磨參數選擇與研磨特性做一系列的分析與探討,並建構刀具表面粗度預測系統。 在本實驗中對於相同的端銑刀具幾何,使用33與43實驗因子配置一系列不同研磨參數,管制研磨性能的因子為砂輪粒度、切削速度、進給速度與切削深度,利用CNC五軸工具磨床機研磨端銑刀具,研磨後量測表面粗糙度與體積磨耗,將實驗數據運用多項式網路做訓練並建立刀具研磨預測系統。
There is a great demand of end mills for milling workpieces owing to the development of the aeronautical industry, die and mold processing, automobile parts, and 3C products manufacturing industry, etc. The advanced science and technology leads to products stand in need of high precision. High quality and high precision cutting tools are in great demand and more urgent for machining manufacturers. The geometric accuracy and the performance of machining of end mills essentially depend on the grinding procedures. It is an important issue how to effectively keep the grinding accuracy of the cutting tools. Therefore, this thesis aims to analyze and discuss the grinding characteristics and parameters when grinding tungsten carbide tools with diamond grinding wheels. Furthermore, we also proposed a tool surface roughness prediction system. In the experiments, a series of different grinding parameters have been utilized by the 33 and 43 factorial experimental planning for the same geometric profile of an end mill. The control factors in this study included the grain size, spindle speed, feed rate, and depth of cut. We used a five-axis CNC tool grinder to grind end mills, and measured the surface roughness and grinding ratio of the tools. The prediction system was developed by employing the abductive network for training of tool surface roughness.